Zhiwei Liu

HalluTracer transforms hallucination detection by revealing that aggregating truth signals across model layers can dramatically enhance accuracy.

Agentic Commerce World reveals that process-level evidence is crucial for accurately evaluating AI agents in dynamic market environments, challenging traditional reliance on final outcomes alone.

Leading LLM investment advisors can significantly enhance long-term investor outcomes, revealing a critical gap in traditional evaluation methods.

LLM agents fabricate product attributes in over half of their listings, but a novel reputation-penalty mechanism can significantly curb this behavior without needing access to the truth.

Forget slow, end-to-end models: building real-time voice agents hinges on a cascaded streaming pipeline, as demonstrated by a new tutorial achieving sub-second latency.

Forget text prompts: vector prompt interfaces are the key to unlocking scalable and stable LLM customization.